Resurrect run on Out of memory
Pricing
Pay per usage
Resurrect run on Out of memory
Simple helper actor to resurrect your runs when they run out of memory.
0.0 (0)
Pricing
Pay per usage
2
Total users
10
Monthly users
1
Runs succeeded
>99%
Last modified
3 years ago
You can access the Resurrect run on Out of memory programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/sse?actors=lukaskrivka/resurrect-on-out-of-memory", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } }}
Configure MCP server with Resurrect run on Out of memory
You have a few options for interacting with the MCP server:
Use
mcp.apify.com
viamcp-remote
from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).Set up the connection directly in your MCP client UI by providing the URL
https://mcp.apify.com/sse?actors=lukaskrivka/resurrect-on-out-of-memory
along with an API token (or use OAuth).Connect to
mcp.apify.com
via Server-Sent Events (SSE), as shown below:
{ "mcpServers": { "apify": { "type": "sse", "url": "https://mcp.apify.com/sse?actors=lukaskrivka/resurrect-on-out-of-memory", "headers": { "Authorization": "Bearer <YOUR_API_TOKEN>" } } }}
You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.
If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.